Transboundary emission contribution to PM 2.5 concentrations in Indian cities
Datos Bibliográficos
| ID | 15545282 |
|---|---|
| Autores | Raj M Lal (0000-0001-6024-0629, Indian Institute of Technology Bombay, autor de correspondencia), Ajay Singh Nagpure (0000-0002-4817-7329, Princeton University), Abhinav Anand (0000-0002-7962-4216, Indian Institute of Technology Bombay), Sujit Maji (0000-0001-9175-3339, Indian Institute of Tropical Meteorology), Kushal Tibrewal (0000-0003-1009-4250, Laboratoire des Sciences du Climat et de l'Environnement), Ganesh Gupta (Indian Institute of Technology Bombay), Chandra Venkataraman (0000-0002-2280-3360, Indian Institute of Technology Bombay), Kangkang Tong (0000-0002-8515-4812, Shanghai Jiao Tong University) |
| Año | 2025 |
| Volumen | 20 |
| Número | 5 |
| Páginas | 054008-054008 |
| Fecha de publicación | 2025-03-17 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Environmental Research Letters (JOURNAL) |
| Identificadores de la revista | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Editorial | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/adc147 |
| OpenAlex | W4408515364 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 71 |
Targeting urban air quality improvements in India, the National Clean Air Program (NCAP) was launched in 2019 to reduce PM 2.5 concentrations by 20%–30% in 122 initial cities over a 7 year period (2017–2024). However, considering the regional nature of air pollution nationwide and the significant emission load from rural areas, a potentially large fraction of urban PM 2.5 might originate from emissions outside of a city’s boundary, i.e. transboundary emissions. Here, we couple top-down (STILT-PM 2.5 ) and bottom-up (WRF-Chem) modeling approaches with a new, nationwide, monthly-resolved, and fine-scale (5 km × 5 km) anthropogenic emission inventory to assess the impact of transboundary emissions to urban PM 2.5 concentrations across 143 cities (122 NCAP and 67 million plus -cities with population >1 million, among which 46 cities are also NCAP cities). We find that, on average, ∼85% (STILT-PM 2.5 : 82% [95% CI: 80–85%; IQR: 77%–94%] & WRF-Chem: 89% [95% CI: 87%–91%; IQR: 88%–96%]) of urban PM 2.5 across the 143 cities originates from transboundary emissions, with domestic biomass burning (32%), energy generation (16%) and industry (15%) being the leading average emission sources to the transboundary contribution. In addition, 107 of the 122 NCAP cities from both modeling approaches have annual transboundary PM 2.5 contributions exceeding 80%, indicating that an entire mitigation of within-boundary emissions alone in these cities will not achieve the most conservative targets outlined as part of NCAP. Our findings underscore the need for multi-scale, regional action planning and implementation to achieve PM 2.5 -air quality targets throughout India
Atmospheric sciences · Climatology · Geography · Physical geography · Air Quality and Health Impacts · COVID-19 impact on air quality · Environmental Science · Vehicle emissions and performance · Geology
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| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 2 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |